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Record W2080579225 · doi:10.1093/cid/cir125

Systemic Dysregulation of Angiopoietin-1 and -2 in Streptococcal Toxic Shock Syndrome

2011· article· en· W2080579225 on OpenAlexafffund
Andrea Page, Malak Kotb, Allison McGeer, Donald E. Low, Kevin C. Kain, W. Conrad Liles

Bibliographic record

VenueClinical Infectious Diseases · 2011
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of TorontoCentre for Global Health ResearchToronto General HospitalUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsAngiopoietin 2MedicineEndothelial activationSeptic shockAngiopoietinEndothelial dysfunctionConvalescenceImmunologyShock (circulatory)Internal medicineEndotheliumSepsisVascular endothelial growth factor

Abstract

fetched live from OpenAlex

Streptococcal toxic shock syndrome (STSS) is characterized by diffuse vascular leak resulting from widespread endothelial activation. Angiopoietin-1 and -2 (Ang-1 and Ang-2), which are important regulators of endothelial quiescence and activation, respectively, are dysregulated in certain diseases that are associated with endothelial dysfunction, but they have not been previously investigated in STSS. Plasma Ang-1 and Ang-2 concentrations were measured in 37 patients with invasive streptococcal infection with and without concurrent STSS. Greater angiopoietin dysregulation (decreased Ang-1 and increased Ang-2) occurred in STSS than in invasive infection without shock; dysregulation decreased with convalescence. These results suggest that systemic Ang-1 and Ang-2 dysregulation is associated with disease severity in invasive streptococcal infection and that plasma levels of Ang-1 and Ang-2 may serve as clinically informative biomarkers in STSS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.337
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2011
Admission routes2
Has abstractyes

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